Top Tech Jobs & Startup Jobs

Manage enterprise IT infrastructure, including Microsoft 365 email, Cisco IronPort security, Active Directory, DNS, DHCP, public BIND DNS, Wi-Fi, endpoint management, patching, software deployment, backups, monitoring, scripting, troubleshooting, disaster-recovery drills, and audit compliance. Maintain secure and highly available services across on-premises environments and coordinate with security, audit, and risk teams.

Develop and support Java and React applications using Spring Boot, microservices, REST APIs, databases, Kafka, and Redis/KeyDB. Manage Git repositories, CI/CD pipelines, releases, production support, bug fixes, and change requests. Collaborate with business, QA, infrastructure, and other stakeholders; resolve technical issues; maintain coding standards; address OWASP vulnerabilities; and contribute to system design. Payments or banking domain knowledge is preferred.

Lead architecture and development of Java-based stream-processing and distributed platforms for the national NETC FASTag ecosystem. Build low-latency, highly available transaction, settlement, fraud-detection, ANPR, and decisioning systems. Integrate with switching, clearing, and settlement platforms while ensuring resilience, observability, security, regulatory compliance, auditability, and disaster recovery. Provide technical leadership, mentor engineers, govern vendors, optimize national-scale performance, and retain core platform knowledge within NPCI.

Develop and maintain responsive React.js interfaces, translating designs and requirements into scalable applications. Build reusable UI components, implement state management, optimize performance, troubleshoot issues, and collaborate with backend, QA, and product teams. Participate in code reviews, sprint planning, and Agile ceremonies while following frontend development best practices.

Evaluates IT governance, general controls, information security, applications, infrastructure, cloud environments, and outsourced services. Reviews access, change management, incident response, data protection, application validation, business continuity, and disaster recovery controls. Identifies cyber and technology risks and assesses compliance with COBIT, ITIL, ISO 27001, RBI, UIDAI, NCIIPC, and data privacy requirements. Supports statutory, concurrent, and regulatory audits.

Provides Level-2 production application support for mission-critical Bharat Bill Pay applications in a 24x7 environment. Responsibilities include incident troubleshooting, application maintenance, patch and build deployment, SQL-based investigation, performance assessment, log monitoring, automation, disaster recovery drills, root cause analysis, and production risk prevention. The role coordinates with database, infrastructure, operations, development teams, banks, and financial institutions to maintain high availability and uninterrupted service delivery.

Develop and design complex enterprise software solutions using Java and J2EE. Build applications with Spring, Hibernate, Kafka, Redis, REST, web services, SQL, and relational or NoSQL databases. Apply computer science fundamentals, design patterns, UML, and open-source tools while collaborating with architects, technical leads, and business stakeholders to deliver solutions.

Manage relationships with large corporates, fintechs, merchants, and strategic partners. Support partner onboarding, ecosystem enablement, operational readiness, UPI and RuPay adoption, payment strategy, pilot execution, and stakeholder alignment. Provide regulatory and compliance support across payment operations, including settlement, reconciliation, fraud controls, API integrations, and data privacy. Build dashboards, apply AI and automation tools, and develop scalable technology-enabled solutions while engaging CXO-level stakeholders.

Develop end-to-end AI systems for fraud detection, AML, anomaly detection, transaction intelligence, graph analytics, and conversational AI. Responsibilities include feature engineering, ML and deep learning model development, LLM and agentic applications, GPU optimization, scalable batch and real-time deployment, evaluation, monitoring, and collaboration with technical, academic, and business stakeholders.

Develop and deploy machine learning, deep learning, Generative AI, and LLM solutions for financial and payment data. Build fraud detection, anomaly identification, NLP, conversational AI, complaint analysis, and RAG applications. Collaborate with engineering, product, and business teams to productionize models, evaluate performance, improve scalability, and meet security, compliance, and governance requirements.